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- Tasks: Build and optimise AI-driven features for an anti-financial crime platform.
- Company: Join Arva AI, a fast-growing Y Combinator startup.
- Benefits: Competitive salary, equity options, remote work, and bi-annual reviews.
- Other info: Enjoy significant ownership over the company's core AI strategy.
- Why this job: Make a real impact in the fight against financial crime with cutting-edge technology.
- Qualifications: 4+ years full-stack experience, strong in TypeScript, React, and Node.js.
The predicted salary is between 70000 - 110000 £ per year.
Salary: £70K - £110K + 0.30% - 0.50% Equity
Company Description: Arva AI – YC-backed startup building AI Agents to scale AML, KYB, and KYC operations.
As a Senior Full-Stack Product Engineer, you will build and iterate on features for an AI-powered anti-financial crime platform. You will develop document fraud detection, web due diligence tools, and automation systems for model fine-tuning. This role bridges front-end, back-end, and MLops to help financial institutions cut operational costs by 80%.
Location: London, UK
Why this role is remarkable: Join a fast-growing Y Combinator S24 startup at an early stage with significant ownership over the company's core AI strategy. Work on cutting-edge agentic workflows that automate complex human review tasks, directly impacting the global fight against financial crime. Enjoy high-impact perks including bi-annual salary reviews, yearly performance equity refreshes, and the ability to work remotely for four weeks every year.
What you will do:
- Build scalable back-end systems and intuitive front-end interfaces that explain complex AI-driven decisions to compliance officers without overloading them.
- Develop and optimize automated systems for prompt engineering, model fine-tuning (LLMs and vision models), and custom AI model training.
- Iterate rapidly on AI agents to enhance performance, reliability, and explainability while maintaining best-in-class CI/CD and DevOps practices.
The ideal candidate:
- Has 4+ years of professional full-stack experience with a strong proficiency in TypeScript, React, and Node.js.
- Possesses hands-on experience in AI/ML, specifically with computer vision, prompt optimization, and adapting pre-trained models for specific use cases.
- Exhibits a proactive problem-solving approach.
Senior Full-Stack Product Engineer ( + 0.30% - 0.50% Equity) at Arva AI employer: Jack & Jill/External Ats
Contact Detail:
Jack & Jill/External Ats Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Full-Stack Product Engineer ( + 0.30% - 0.50% Equity) at Arva AI
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to AI and full-stack development. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. We recommend doing mock interviews with friends or using platforms that simulate real interview scenarios.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Full-Stack Product Engineer ( + 0.30% - 0.50% Equity) at Arva AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Full-Stack Product Engineer role. Highlight your experience with TypeScript, React, and Node.js, and don’t forget to mention any AI/ML projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about working at Arva AI and how you can contribute to our mission. Be specific about your past experiences and how they relate to the role. We love a good story!
Showcase Your Projects: If you've got any personal or professional projects that demonstrate your full-stack capabilities, make sure to include them. We’re keen to see how you’ve tackled challenges in the past, especially those related to AI and automation. It’s all about showing us what you can do!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. This way, we can easily track your application and get back to you quicker. Plus, it shows us you're serious about joining our team at Arva AI!
How to prepare for a job interview at Jack & Jill/External Ats
✨Know Your Tech Stack
Make sure you’re well-versed in TypeScript, React, and Node.js. Brush up on your knowledge of AI/ML concepts, especially around computer vision and prompt optimization. Being able to discuss your experience with these technologies confidently will show that you're the right fit for the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in previous roles. Think about specific projects where you developed scalable systems or improved existing processes. This will demonstrate your proactive approach and ability to contribute to Arva AI's mission.
✨Understand the Company’s Vision
Research Arva AI and its focus on anti-financial crime solutions. Familiarise yourself with their products and how they leverage AI. Showing that you understand their goals and challenges will help you stand out as a candidate who is genuinely interested in the company.
✨Prepare Questions
Have a list of insightful questions ready to ask during the interview. Inquire about their current projects, team dynamics, or future plans for AI development. This not only shows your enthusiasm but also helps you gauge if the company aligns with your career aspirations.